High strain rate-induced failure in steels at high shear strains
Bibliographic record
Abstract
Materials deformed at high strain rates exhibit sometimes the behaviour that is very different from that at static or quasi-static loading. Material and physical properties that are of no concern in low strain rates become crucial in the material response at high strain rates. Material properties such as thermal diffusivity and thermal softening have to be considered in order to understand the mechanism of deformation at high strain rates. The most important aspect of high strain rate deformation is the occurrence of local thermal and mechanical instability that leads to failure of the material, usually characterised by the occurrence of adiabatic shear bands (ASB). In this study, AISI 4140 steel was tested using a torsional split Hopkinson bar at three different strain rates and the impact of strain rate on the material behaviour was examined. The influence of material hardness on failure mechanisms was also investigated by producing different tempers of 4140 steel with distinct microstructures and different hardness. The fracture surface of specimens was examined under the scanning electron microscope (SEM). (Abstract shortened by UMI.)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".